Three-Dimensional Ordered Porous SnO2 Nanostructures Derived from Polystyrene Sphere Templates for Ethyl Methyl Carbonate Detection in Battery Safety Applications

作者：Peijiang Cao, Liangti Qu, Fang Jia, Yuxiang Zeng, Deliang Zhu, Chunfeng Wang, Shun Han, Ming Fang, Xinke Liu, Wenjun Liu, Sachin T. Navale · 发表于：Nanomaterials · 年份：2025 · DOI：10.3390/nano15151150 · 被引用次数：1 · 研究领域：Gas Sensing Nanomaterials and Sensors、Advanced Battery Technologies Research、Conducting polymers and applications

As lithium-ion batteries (LIBs) gain widespread use, detecting electrolyte–vapor emissions during early thermal runaway (TR) remains critical to ensuring battery safety; yet, it remains understudied. Gas sensors integrating oxide nanostructures offer a promising solution as they possess high sensitivity and fast response, enabling rapid detection of various gas-phase indicators of battery failure. Utilizing this approach, 3D ordered tin oxide (SnO2) nanostructures were synthesized using polystyrene sphere (PS) templates of varied diameters (200–1500 nm) and precursor concentrations (0.2–0.6 mol/L) to detect key electrolyte–vapors, especially ethyl methyl carbonate (EMC), released in the early stages of TR. The 3D ordered SnO2 nanostructures with ring- and nanonet-like morphologies, formed after PS template removal, were characterized, and the effects of template size and precursor concentration on their structure and sensing performance were investigated. Among various nanostructures of SnO2, nanonets achieved by a 1000 nm PS template and 0.4 mol/L precursor showed higher mesoporosity (~28 nm) and optimal EMC detection. At 210 °C, it detected 10 ppm EMC with a response of ~7.95 and response/recovery times of 14/17 s, achieving a 500 ppb detection limit alongside excellent reproducibility/stability. This study demonstrates that precise structural control of SnO2 nanostructures using templates enables sensitive EMC detection, providing an effective sensor-based strategy to enha...